JSON Formatter: Validate, Beautify, and Minify JSON
Validate JSON, fix formatting issues, and produce clean output with consistent indentation.
Learn how to convert CSV to JSON and back with type inference, custom delimiters, and best practices for data transformation.
CSV and JSON are both popular data formats, but they serve different purposes. CSV excels at tabular data and spreadsheet compatibility, while JSON handles nested structures and is the standard for APIs.
Converting between formats enables seamless data flow between spreadsheets, databases, and web applications.
CSV (Comma-Separated Values) stores data in rows with values separated by delimiters. The first row typically contains column headers that become JSON keys.
Raw CSV data is all strings. Type inference automatically detects and converts numbers, booleans, and null values to their proper JSON types.
This eliminates manual type casting when importing data into applications that expect typed data.
Array of Objects is the most common format, where each row becomes an object with header names as keys. Array of Arrays preserves the raw tabular structure without assuming headers.
Reverse conversion flattens JSON arrays into tabular format. The tool extracts object keys as headers and values as rows. Nested objects may require pre-processing.
Always validate your data after conversion. Check for encoding issues with special characters, verify numeric precision, and confirm boolean values converted correctly.
Yes. All CSV and JSON processing happens entirely in your browser. No data is uploaded to any server.
Select the semicolon delimiter from the dropdown menu. The tool supports comma, semicolon, tab, and pipe delimiters.
Uncheck the "First row is header" option. The output will use numeric indices (0, 1, 2) as keys or preserve arrays depending on the format selected.
The tool works best with flat JSON arrays. For deeply nested structures, you may need to flatten the data first or export only the top-level properties.
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